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The exact approximation order of the random maximum of cumulative sums of independent variables / by Fotopoulos, S. B.; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references.
Subjects: Mathematical statistics; Variables (Mathematics);

Schaum's Outline of Beginning Statistics / by Stephens, Larry J.(CARDINAL)646501;
Introduction -- Organizing data -- Descriptive measures -- Probability -- Discrete random variables -- Continuous random variables and their probability distributions -- Sampling distributions -- Estimation and sample size determination : one population -- Tests of hypotheses : one population -- Inferences for two populations -- Chi-square procedures -- Analysis of variance (ANOVA) -- Regression and correlation -- Nonparametric statistics.
Subjects: Statistics;

Introduction to probability and statistics / by Lipschutz, Seymour.(CARDINAL)512267; Schiller, John J.(CARDINAL)771311;
1. Preliminary: descriptive statistics -- 2. Sets and counting -- 3. Basic probability -- 4. Conditional probability and independence -- 5. Random variables -- 6. Binomial and normal distributions -- 7. Sampling distributions -- 8. Confidence intervals for a single population -- 9. Hypotheses tests for a single population -- 10. Inference for two populations -- 11. Chi-square tests and analysis of variance.
Subjects: Outlines and syllabi.; Problems and exercises.; Probabilities; Mathematical statistics; Probabilities; Mathematical statistics;

Schaum's outline of theory and problems of probability and statistics / by Spiegel, Murray R.(CARDINAL)507533; Schiller, John J.(CARDINAL)771311; Srinivasan, R. Alu.(CARDINAL)659338;
Subjects: Problems and exercises.; Mathematical statistics; Probabilities;

Teach your kids to code : a parent-friendly guide to Python programming / by Payne, Bryson.(CARDINAL)410335;
"A guide to teaching basic programming skills for parents and teachers, with step-by-step explanations, visual examples, and exercises. Covers programming concepts including loops, lists, functions, and variables, and how to build games and applications"--What is coding? -- Python basics -- Turtle graphics -- Numbers and variables -- Loops are fun -- Conditions -- Random fun -- Functions -- Timers and animation -- User interaction -- Game programming -- Beyond the book -- Python setup for PC and Mac -- Pygame setup -- Building your own modules -- Solutions to programming challenges.Includes bibliographical references and index.1150L
Subjects: Python (Computer program language); Computer programming; Python (Computer program language); Computer programming;

Towards reconstruction of an un-paired random sample / by Lucas, Donna.(CARDINAL)200236; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages [107]-110).
Subjects: Mathematical statistics.; Sampling (Statistics); Variables (Mathematics);

Expected number of vertices of a random convex polytope : I. integral formula and asymptotic bounds / by Kelly, D.; Tolle, J. W.; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references.
Subjects: Asymptotic expansions.; Polytopes.; Variables (Mathematics);

Bare metal C : embedded programming for the real world / by Oualline, Steve,author.(CARDINAL)367881;
Hello world -- Introduction to the integrated development environment -- Programming the microcontroller -- Numbers and variables -- Decision and control statements -- Arrays, pointers, and strings -- Local variables and procedures -- Complex data types -- Serial output on the STM -- Interrupts -- The linker -- The preprocessor -- Dynamic memory -- Buffered file I/O --Command line arguments and raw I/O -- Floating-point numbers -- Modular programming."Teaches how to program embedded systems with the C programming language. Learn how embedded programs interact with bare hardware directly, use the compiler and linker, and learn C features that are important for programming regular computers"--
Subjects: C (Computer program language); Embedded computer systems;

Hello world! : computer programming for kids and other beginners / by Sande, Warren.(CARDINAL)589699; Sande, Carter.(CARDINAL)427415;
Learn to talk to your computer in its own language! Whether you want to create a game, start a business, or solve an important problem, the first step is learning to write your own programs. Programming is a fun challenge, and it's easy to get started! This updated and revised edition of Hello World! introduces the world of computer programming in a clear and engaging style. It is full of examples that will get you thinking and learning. Reviewed by professional educators, this book is kid-tested and parent-approved. You don't need to know anything about programming to use the book, just the basics of using a computer. If you can start a program and save a file, you'll be off and running!Getting started -- Remember this: memory and variables -- Basic math -- Types of data -- Input -- GUIs: graphical user interfaces -- Decisions, decisions -- Loop the loop -- Just for you: comments -- Game time -- Nested and variable loops -- Collecting things together: lists and dictionaries -- Functions -- Objects -- Modules -- Graphics -- Sprites and collision detection -- A new kind of input: events -- Sound -- More GUIs -- Print formatting and strings -- File input and output -- Take a chance: randomness -- Computer simulations -- Skier explained -- Python battle -- What's next? -- Variable naming rules -- Differences between Python 2 and 3 -- Answers to self-test questions.
Subjects: Python (Computer program language); Computer programming;

Statistics for the utterly confused / by Jaisingh, Lloyd R.(CARDINAL)701136;
ouped Univariate DataGraphical Displays -- Numerical Measures of Central Tendency -- Numerical Measures of Variability -- Numerical Measures of Position -- Exploring Bivariate Data -- Exploring Categorical Data -- Randomness, Uncertainty, and Probability -- Discrete Probability Distributions -- The Normal Probability Distribution -- Sampling Distributions and the Central Limit Theorem -- Confidence Intervals Large Samples -- Hypothesis Tests - Large Samples -- Confidence Intervals and Hypothesis Tests Small Samples -- Chi-Square Procedures -- One-Way Analysis of Variance.Book Description: When it comes to understanding statistics, even good students can be confused. Perfect for students in any introductory non-calculus-based statistics course, and equally useful to professionals working in the world, Statistics for the Utterly Confused is your ticket to success. Statistical concepts are explained step-by-step and applied to such diverse fields as business, economics, finance, and more. The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this up-to-the-minute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 self-testing questions and answers. The expert author's Web site also gives you tons of fresh examples, practice problems, and strategies-so you can go from utterly confused to totally prepared in no time.
Subjects: Statistics;

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